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Defect Detection Method Based On Hierarchical Microscopic Feature Modeling And Simulation, Jing Zou, Xu Tan, Junji Mao, Haidong Gao, Jianrong Tan Jan 2026

Defect Detection Method Based On Hierarchical Microscopic Feature Modeling And Simulation, Jing Zou, Xu Tan, Junji Mao, Haidong Gao, Jianrong Tan

Journal of System Simulation

Abstract: To address the challenge of detecting small and low-contrast defects in complex microscopic images, a defect method technology based on hierarchical microscopic feature modeling and simulation is proposed. The method is built on the RT-DETR (real-time detection transformer)framework to construct the HM-RTDETR (hierarchical microscopic RT-DETR) model. It maintains the global feature modeling ability of the Transformer and introduces a Dense O2O-Mosaic, a high-density one-to-one Mosaic augmentation strategy, to increase supervision density for small samples. A depthwise separable convolution (DWConv) module is used to enhance local detail extraction in microscopic textures, and a learnable PatchExpand module is applied …

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Material Reconstruction From Single Image Combining Neural Networks With Singular Value Decomposition, Zhiqiang Li, Xukun Shen, Yong Hu, Xueyang Zhou, Yifan Chen Jan 2026

Material Reconstruction From Single Image Combining Neural Networks With Singular Value Decomposition, Zhiqiang Li, Xukun Shen, Yong Hu, Xueyang Zhou, Yifan Chen

Journal of System Simulation

Abstract: The tabulated BRDFs (bidirectional reflectance distribution function) can realistically reproduce the surface appearance of objects. However, due to their high-dimensional characteristics and the fact that a single planar image contains limited reflectance information and small differences, methods for estimating tabulated BRDFs typically require complex equipment or the capture of multiple images. To address this issue, a method is proposed for reconstructing material properties from a single image by combining neural networks with singular value decomposition. The singular value decomposition is introduced to compress the material into a lower-dimensional space. The task of solving the tabulated BRDFs is simplified to …

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Full-Body Co-Speech Gesture Generation Based On Spatial-Temporal Enhanced Generation Model, Shuozhe Zhang, Wenfeng Song, Xia Hou, Shuai Li Jan 2026

Full-Body Co-Speech Gesture Generation Based On Spatial-Temporal Enhanced Generation Model, Shuozhe Zhang, Wenfeng Song, Xia Hou, Shuai Li

Journal of System Simulation

Abstract: Full-body co-speech gesture generation significantly enhances the interactivity of virtual digital humans, requiring generated gestures to not only align accurately with speech but also demonstrate realistic full-body dynamics. To address limitations of existing methods—Transformer-based approaches often overlook temporal features of action sequences, while diffusion model-based ones inadequately capture spatial correlations between body parts, a full-body action generation method integrating diffusion models, Mamba, and attention mechanisms is proposed. We introduce the spatial self-attention-temporal state space model (STMamba Layer) as the core of denoising network to extract
inter-part spatial features and intra-part temporal features, thus enhancing action quality and diversity. …

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Vrbt: Vr Badminton Training With Multitask Injury Alerts Based On Lightweight 3d Skeletal Reconstruction, Yuning Zhu, Meng Yang, Tianyue Chen, Weiliang Meng Jan 2026

Vrbt: Vr Badminton Training With Multitask Injury Alerts Based On Lightweight 3d Skeletal Reconstruction, Yuning Zhu, Meng Yang, Tianyue Chen, Weiliang Meng

Journal of System Simulation

Abstract: To overcome the limitations of traditional badminton training, a VR training method that integrates multiple models for collaborative simulation is proposed. A "perception-decision- interaction" framework is developed within Unity, featuring diverse training modules powered by a physics engine for realistic trajectory simulation. The system employs a lightweight MHFormer for 3D pose estimation and a novel multi-task model (enhanced injury prediction system, EIPS) that combines random forest and XGBoost to jointly assess injury risk. This approach offers a solution for balancing real-time performance with accuracy in skeleton reconstruction and enables personalized training through dynamic risk assessment.

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Addressing The Void Of Ai Policies In Education For Students With Specific Learning Disabilities, Mikyung Shin, Fatmana Deniz, Latesha Watson, Cynthia Dieterich, Kathy B. Ewoldt, Friggita Johnson, Jennifer E. Kong, Sung Hee Lee, April Whitehurst Jan 2026

Addressing The Void Of Ai Policies In Education For Students With Specific Learning Disabilities, Mikyung Shin, Fatmana Deniz, Latesha Watson, Cynthia Dieterich, Kathy B. Ewoldt, Friggita Johnson, Jennifer E. Kong, Sung Hee Lee, April Whitehurst

Education Faculty Articles and Research

The purpose of this study was to identify the current state of artificial intelligence (AI) policies in U.S. education and propose actionable recommendations through large language model–based topic modeling and Delphi surveys. Out of 12 policy documents released between 2015 and 2025, only two documents (National Center for Learning Disabilities, 2024; W.A. v. Clarksville/Montgomery County School System, 2024) specifically addressed learning disabilities. Policy documents addressing topics such as AI-driven risk assessment, data protection, legal risk management, and ethical guidelines covering other disabilities and general AI in education policy were provided as baselines that could be discussed and validated through …

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Inverse Kinematics 3d Human Modeling Simulation Based On Multi-View Vision, Guoyu Fang, Yanze Li, Kai Chen, Xiaodong Zhao, Zizhuo Hu, Mingshi Yang, Wanqing Wu, Zichen Wang, Wenkai Guo Jan 2026

Inverse Kinematics 3d Human Modeling Simulation Based On Multi-View Vision, Guoyu Fang, Yanze Li, Kai Chen, Xiaodong Zhao, Zizhuo Hu, Mingshi Yang, Wanqing Wu, Zichen Wang, Wenkai Guo

Journal of System Simulation

Abstract: In autonomous driving simulation and industrial virtual reality simulation, there is a high demand for accuracy and robustness in 3D human body modeling. However, current joint-based human modeling approaches suffer from issues such as continuous modeling jitter, local distortion, and poor adaptability to occlusion, which degrade model quality and limit the development of practical applications such as intelligent driving and digital factories. To address these challenges, this paper proposes a multi-view vision-based inverse kinematics 3D human modeling method using a vector quantized variational autoencoder(IK-VQ-VAE). By integrating joint training with an automatic variational gradient descent approach, the proposed method achieves …

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Pdr-Stgcn: An Enhanced Stgcn With Multi-Scale Periodic Fusion And A Dynamic Relational Graph For Traffic Forecasting, Jie Hu, Bingbing Tang, Langsha Zhu, Yiting Li, Jianjun Hu, Guanci Yang Jan 2026

Pdr-Stgcn: An Enhanced Stgcn With Multi-Scale Periodic Fusion And A Dynamic Relational Graph For Traffic Forecasting, Jie Hu, Bingbing Tang, Langsha Zhu, Yiting Li, Jianjun Hu, Guanci Yang

Faculty Publications

Accurate traffic flow prediction is a core component of intelligent transportation systems, supporting proactive traffic management, resource optimization, and sustainable urban mobility. However, urban traffic networks exhibit heterogeneous multi-scale periodic patterns and time-varying spatial interactions among road segments, which are not sufficiently captured by many existing spatio-temporal forecasting models. To address this limitation, this paper proposes PDR-STGCN (Periodicity-Aware Dynamic Relational Spatio-Temporal Graph Convolutional Network), an enhanced STGCN framework that jointly models multi-scale periodicity and dynamically evolving spatial dependencies for traffic flow prediction. Specifically, a periodicity-aware embedding module is designed to capture heterogeneous temporal cycles (e.g., daily and weekly patterns) and …

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Virtual-Real Fusion Simulation Technology And Application Research For Industrial Control Systems Cybersecurity Of Process Manufacturing, Xinwei Wang, Jinjiang Wang, Zheng Wang, Laibin Zhang Jan 2026

Virtual-Real Fusion Simulation Technology And Application Research For Industrial Control Systems Cybersecurity Of Process Manufacturing, Xinwei Wang, Jinjiang Wang, Zheng Wang, Laibin Zhang

Journal of System Simulation

Abstract: Aiming at the problem that the industrial control system in the process manufacturing industry lacks an effective attack and defense drill platform when facing network attacks, it is difficult to truly simulate the attack situation, verify the protective measures, and accurately evaluate the impact of attacks on the physical system, an industrial control cybersecurity simulation technology based on virtual-real fusion is proposed to build an efficient attack and defense drill range. The industrial control cybersecurity simulation architecture based on virtual-real fusion is designed, and the consistency analysis of virtual-real fusion data is carried out. At the same time, …

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Spatio-Temporal Swin Transformer-Based Flow-Solid Coupling Interaction Sequence Image Prediction Network, Changjun Zou, Zhiyu Ge, Chenxi Zhong Jan 2026

Spatio-Temporal Swin Transformer-Based Flow-Solid Coupling Interaction Sequence Image Prediction Network, Changjun Zou, Zhiyu Ge, Chenxi Zhong

Journal of System Simulation

Abstract: To address limitations in modeling long-term dependencies and multi-scale features in fluidstructure interaction scenarios, a spatiotemporal deep learning model (SwinLSTM) integrating ConvLSTM and Swin Transformer is proposed. The model employs a gated spatiotemporal attention mechanism that dynamically embeds Swin Transformer's window-based multi-head self-attention into ConvLSTM's output gate, enabling adaptive temporal-spatial feature coupling, and designs a multi-level ConvLSTM framework to hierarchically capture complex spatiotemporal correlations. Experiments on a self-built fluid-interaction dataset show that our method achieves the highest PSNR and leading SSIM scores, with superior performance in preserving vortex details and boundary consistency. This work provides an efficient solution …

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Research On Real-Time Animatable Human Avatar Generation Via 3d Gaussian Splatting, Yuyou Zhong, Xukun Shen, Yong Hu Jan 2026

Research On Real-Time Animatable Human Avatar Generation Via 3d Gaussian Splatting, Yuyou Zhong, Xukun Shen, Yong Hu

Journal of System Simulation

Abstract: Real-time animatable 3D human avatar generation technology hold significant application value in fields such as virtual reality and remote collaboration. To address the limitations of existing methods in detail modeling, real-time performance, and robustness under novel pose driving, an efficient human avatar generation and driving method based on 3D Gaussian splatting (3DGS) is proposed. This method integrates optimized parametric human reconstruction, tri-plane feature encoding, and dynamic offset prediction to achieve efficient modeling from monocular video input. By introducing a skeleton binding and visibility analysis strategy, while designing a multi-scale regularization loss to address the overfitting problem. Simulation experiments demonstrate …

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Military Metaverse: Conceptual Connotation, Construction And Application Framework, Key Issues, Dayong Liu, Zhiming Dong, Jiancheng Gao Jan 2026

Military Metaverse: Conceptual Connotation, Construction And Application Framework, Key Issues, Dayong Liu, Zhiming Dong, Jiancheng Gao

Journal of System Simulation

Abstract: Based on the analysis of the concept of the metaverse, the military metaverse concept model is established and compared with virtual-real fusion systems such as the digital twin battlefield, analyzing its core characteristics and construction significance. To accelerate the construction of the military metaverse, an overall logical architecture for the construction and application of the military metaverse is designed, the concept of military metaverse primitives is proposed, and the technical architecture is designed. The main application directions of the military metaverse are analyzed, and the construction stage division and overall thinking are provided. The key issues in construction and …

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Pl-Mamba: A 3d Point Cloud Semantic Segmentation Network Based On Bimodal Fusion, He Zhu, Feng Zhou, Mengxiao Zhu, Ju Dai Jan 2026

Pl-Mamba: A 3d Point Cloud Semantic Segmentation Network Based On Bimodal Fusion, He Zhu, Feng Zhou, Mengxiao Zhu, Ju Dai

Journal of System Simulation

Abstract: To enhance the semantic discrimination capability in point cloud semantic segmentation, a 3D point cloud semantic segmentation network named PL-Mamba is proposed, which is centered on the fusion of point cloud (P) and language (L) dual modalities. This method takes PointMamba as the backbone network, leveraging its excellent long-sequence modeling and global perception capabilities. It introduces a language prompt mechanism and uses a pretrained language model BERT to encode the context of category labels, obtaining semantically rich text features. The text information serves as a language guided token and is deeply integrated with point cloud features through cross modal …

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Dehpr: A Diffusion-Based End-To-End Hand Pose Reconstruction Network, Guoqiong Liao, Longjie Huang, Qingxin Li, Jiajun Zhang, Kefan Chen Jan 2026

Dehpr: A Diffusion-Based End-To-End Hand Pose Reconstruction Network, Guoqiong Liao, Longjie Huang, Qingxin Li, Jiajun Zhang, Kefan Chen

Journal of System Simulation

Abstract: Traditional methods such as convolutional neural networks (CNNs) and Transformers suffer from strong dependence on large-scale annotated data and limited generalization capability when dealing with hand pose reconstruction in complex scenarios. To address these issues, a diffusion-based end-to-end hand pose reconstruction network (DEHPR) is proposed. This method employs a diffusion model to directly generate and refine 3D predictions, thereby reducing spatial uncertainties inherent in 2D-to-3D modeling paradigms. By incorporating an end-to-end framework that reprojects multiple 3D candidate predictions to select optimal joint positions, the approach ultimately produces accurate hand pose estimations. Comprehensive evaluations conducted on HO3D V2, DexYCB, …

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Cross-Domain Crowd Counting Model Based On Frequency Domain Enhancement, De Zhang, Zishan Liang, Ningning Liu Jan 2026

Cross-Domain Crowd Counting Model Based On Frequency Domain Enhancement, De Zhang, Zishan Liang, Ningning Liu

Journal of System Simulation

Abstract: Crowd counting takes video surveillance data as input and can be applied to the construction of city digital twin platforms, virtual city modeling and smart city management, etc. However, when there are data domain differences between the application scenario and training scenario, counting performance often significantly decreases. A cross-domain crowd counting model based on frequency domain enhancement is proposed. To alleviate the distribution differences between domains, a frequency domain feature enhancement module and a domain invariant frequency domain adapter module are constructed: the former uses discrete cosine transform to extract key statistical features to enhance spatial representation ability, while …

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Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks, Asaad Migot, Ahmed Saaudi, Roshan Joseph, Victor Giurgiutiu Jan 2026

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks, Asaad Migot, Ahmed Saaudi, Roshan Joseph, Victor Giurgiutiu

Faculty Publications

Fatigue crack propagation is a critical failure mechanism in engineering structures, requiring meticulous monitoring for timely maintenance. This research introduces a deep learning framework for estimating fatigue fracture length in metallic plates through acoustic emission (AE) signals. AE waveforms recorded during crack growth are transformed into time-frequency images using the Choi–Williams distribution. First, a clustering system is developed to analyze the distribution of the AE image-based dataset. This system employs a CNN-based model to extract features from the input images. The AE dataset is then divided into three categories according to fatigue lengths using the K-means algorithm. Principal Component Analysis …

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Pengaruh Imbangan Kotoran Sapi Perah Dan Serbuk Gergaji Kayu Albizia Terhadap Kandungan Nitrogen, Fosfor, Dan Kalium Serta Nilai C:N Ratio Kompos (Effect Of Dairy Cattle Manure And Albizia Saw Dust Blending On Compost’S Nitrogen, Phosphorous, And Potassiu, Willyan Djaja, Nur Kasim Suwardi, Lia Budimuljati Salman Jan 2026

Pengaruh Imbangan Kotoran Sapi Perah Dan Serbuk Gergaji Kayu Albizia Terhadap Kandungan Nitrogen, Fosfor, Dan Kalium Serta Nilai C:N Ratio Kompos (Effect Of Dairy Cattle Manure And Albizia Saw Dust Blending On Compost’S Nitrogen, Phosphorous, And Potassiu, Willyan Djaja, Nur Kasim Suwardi, Lia Budimuljati Salman

Jurnal Ilmu Ternak Universitas Padjadjaran

Kotoran sapi perah dari peternakan sering menimbulkan polusi. Di sisi lain limbah serbuk gergaji juga sering mencemari lingkungan dan perlu dicari solusinya. Penelitian bertujuan mencari informasi sampai berapa jauh kualitas kompos yang dihasilkan dari proses pengomposan kotoran sapi perah dan serbuk gergaji pada berbagai imbangan. Masa pengambilan data berlangsung selama 2 bulan. Rancangan yang digunakan adalah rancangan acak lengkap dengan tiga perlakuan dan enam kali ulangan. Kualitas kompos diperlihatkan oleh kandungan N, P, K, dan nilai C:N ratio. Perlakuan dibagi tiga yakni campuran 1 satuan volume kotoran sapi perah dengan 1 satuan (T1), 2 satuan (T2), …

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While The Page Is Still Open, Andres Lugo-Garza, Andres Lugo-Garza Jan 2026

While The Page Is Still Open, Andres Lugo-Garza, Andres Lugo-Garza

Night Flight: Online Literary Journal

While the Page Is Still Open is a lyrical journey through memory, doubt, and personal growth. From risky adventures and quiet struggles to moments of faith and creative discovery, the collection explores how experiences both joyful and painful shape identity and resilience. These poems invite readers to reflect on their own lives as they witness the speaker’s journey of endurance, self-understanding, and the quiet power of creativity.

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Acknowledgement Of Reviewers Jan 2026

Acknowledgement Of Reviewers

Journal of Sustainable Mining

No abstract provided.

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A Critical Appraisal On The Injury Susceptibility Of Underground Metalliferous Mine Workers: Application Of Logistic Regression Model, Sudip Das, Falguni Sarkar, P.S. Paul, B.K. Pal Jan 2026

A Critical Appraisal On The Injury Susceptibility Of Underground Metalliferous Mine Workers: Application Of Logistic Regression Model, Sudip Das, Falguni Sarkar, P.S. Paul, B.K. Pal

Journal of Sustainable Mining

The aim of this study is to analyze the occupational injury data of Indian underground metalliferous mines for scrutinizing the injury proneness of different groups of mine workers. In this context, injury records from 2011 to 2022 were obtained from underground metalliferous mines situated at Eastern part of India. The data were characterized and segregated based on different individual and workplace level variables. The workplace injury is categorized as ‘no injury’ and ‘all injury’. Subsequently, Frequency and Classification Based analysis (FCBA), Standardized Injury Rate (SIR) analysis and Logistic Regression Model (LRM) analysis were performed sequentially (FCBA-SIR-LRM) to predict the susceptibility …

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California Couple Adds $3 Million To Scholarship Fund, Tina H. Hahn Jan 2026

California Couple Adds $3 Million To Scholarship Fund, Tina H. Hahn

University of Mississippi News

OXFORD, Miss. – Bill and Melanie Roper, of La Jolla, California, are deepening their commitment to University of Mississippi students by adding $3 million to the Bill and Melanie Roper Scholarship Endowment, which began with a $2 million gift in 2022.

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The Salt Mines, Marian Engel Jan 2026

The Salt Mines, Marian Engel

Ontario Review

MARIAN ENGEL, a resident of Toronto, has contributed fiction and essays to a number of Canadian magazines, most recently Chatelaine and Queen's Quarterly. Among her novels are The Honeyman Festival, No Clouds of Glory, and Monodromos.

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Multimedia-Based Interventions To Improve Science Learning Outcomes For Deaf Students At Wangsel Institute For The Deaf., Cheten Tshering Mr., Tshering Wangchuk Jan 2026

Multimedia-Based Interventions To Improve Science Learning Outcomes For Deaf Students At Wangsel Institute For The Deaf., Cheten Tshering Mr., Tshering Wangchuk

Journal of Science Education for Students with Disabilities

Efforts have been made to ensure inclusive learning opportunities for all students, including those from diverse backgrounds. One key strategy to enhance children’s learning and academic performance involves the thoughtful selection and application of instructional tools tailored to meet learners' specific needs. This study examines the impact of multimedia-based instruction on science achievement among deaf students at Wangsel Institute for the Deaf in Bhutan. Using a quasi-experimental design, the research compared pretest and post-test results between a control group and an experimental group. Data analysis included descriptive statistics (t-test) and ANCOVA. The findings indicated a statistically significant differences (p = …

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Factors Impacting Elementary School Students’ Engineering Design And Optimization Decisions, Elaine Silva Mangiante, Ilana Haliwa Jan 2026

Factors Impacting Elementary School Students’ Engineering Design And Optimization Decisions, Elaine Silva Mangiante, Ilana Haliwa

Journal of Pre-College Engineering Education Research (J-PEER)

This mixed methods study explored possible factors that could impact elementary school students’ engineering design and optimization decisions. Data were collected from six teachers and 117 students in six fourth grade classrooms that implemented the Engineering is Elementary geotechnical engineering unit, A Stick in the Mud: Evaluating a Landscape. Students were to recommend to villagers their site decision of where to build a TarPul bridge based on four properties: soil type, villager preference, amount of compaction needed, and location less prone to erosion. Data sources included a pre-and post-assessment question, students’ documentation of property choices for their first and optimized …

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Conflict And Community Building In Waste Water Management: The Case Of Azrou Morocco, Jack V. Kalpakian Jan 2026

Conflict And Community Building In Waste Water Management: The Case Of Azrou Morocco, Jack V. Kalpakian

Peace and Conflict Studies Journal Conference

Climate change is forcing Morocco to institute a wide program of wastewater treatment. Despite legal and bureaucratic problems, the water is being reused directly or indirectly. But the construction of water treatment plants is leading to conflicts with farmers that depended on the untreated water and the use of treated water for green spaces and parks is also often viewed with suspicion. Using the case of the Azrou water treatment plant, this paper argues that while the infrastructure and technical adjustments to climate change have been effective, a gap in understanding between the water managers and the public they serve …

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Che And Me, Mark Rudd Jan 2026

Che And Me, Mark Rudd

Fast Capitalism

No abstract provided.

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The Workers May Yet Unite: Media Misdirection Versus The Political And Cultural Economy Of The Us Auto Industry And Worker Attitudes, George L. Lundskow, Brian Phillips, Phyllis Curtiss, Katherine Rehorst, Allison M. Wehr Bennett Jan 2026

The Workers May Yet Unite: Media Misdirection Versus The Political And Cultural Economy Of The Us Auto Industry And Worker Attitudes, George L. Lundskow, Brian Phillips, Phyllis Curtiss, Katherine Rehorst, Allison M. Wehr Bennett

Fast Capitalism

No abstract provided.

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Appetite For Destruction: On Naomi Klein's Neo-Liberal Utopia-Dystopia, Mark Featherstone Jan 2026

Appetite For Destruction: On Naomi Klein's Neo-Liberal Utopia-Dystopia, Mark Featherstone

Fast Capitalism

No abstract provided.

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The Cult Of Exchange Value And The Critical Theory Of Spectacle, Mark P. Worrell Jan 2026

The Cult Of Exchange Value And The Critical Theory Of Spectacle, Mark P. Worrell

Fast Capitalism

The concept of ‘spectacle’ entered the vocabulary of the social sciences with the publication of Debord’s classic Society of the Spectacle. Debord and company were concerned with art, aesthetics, urbanism, the city, architecture, and so on, but, as Lefebvre points out, as these multiple concerns fell by the wayside the Situationists were left with generally little more than an abstract critique of society and polemics (McDonough 2002: 275-76, 281) with the notion of spectacle at the center of it all. To the extent that Situationism still exerts an influence on critical theory it is apparently in just this notion of …

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Full Issue, Fast Capitalism Editorial Team Jan 2026

Full Issue, Fast Capitalism Editorial Team

Fast Capitalism

No abstract provided.

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Reflections On Leaving Facebook, David W. Hill Jan 2026

Reflections On Leaving Facebook, David W. Hill

Fast Capitalism

On 13 August 2009 I deactivated my Facebook social networking account. The world remained on its axis but Facebook’s slightly sinister prediction that my friends would miss me turned out to be correct. A torrent of e-mails and text messages arrived in the days following, asking where I had gone. Many asked me to justify why I left, some out of curiosity and some out of shock. Besides the mundane reasons — such as the ongoing project of limiting procrastination — two substantial arguments developed to explain my deactivation. These relate to voyeurism and the extension of advanced capitalism into …

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